Academic literature on the topic 'Intelligent responses'

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Journal articles on the topic "Intelligent responses"

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Gardner, R. Allen. "Comparative intelligence and intelligent comparisons." Behavioral and Brain Sciences 31, no. 2 (April 2008): 135–36. http://dx.doi.org/10.1017/s0140525x08003610.

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AbstractSound comparative psychology and modern evolutionary and developmental biology emphasize powerful effects of developmental conditions on the expression of genetic endowment. Both demand that evolutionary theorists recognize these effects. Sound comparative psychology also demands experimental procedures that prevent experimenters from shaping the responses of human and nonhuman beings to conform to theoretical expectations.
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Gong, Yanting, Yi-Zhou Zhang, Shiqiang Fang, Chen Liu, Jian Niu, Guanjun Li, Fang Li, Xiangchun Li, Tao Cheng, and Wen-Yong Lai. "Artificial intelligent optoelectronic skin with anisotropic electrical and optical responses for multi-dimensional sensing." Applied Physics Reviews 9, no. 2 (June 2022): 021403. http://dx.doi.org/10.1063/5.0083278.

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Artificial intelligent skins hold the potential to revolutionize artificial intelligence, health monitoring, soft robotics, biomedicine, flexible, and wearable electronics. Present artificial skins can be characterized into electronic skins ( e-skins) that convert external stimuli into electrical signals and photonic skins ( p-skins) that convert deformations into intuitive optical feedback. Merging both electronic and photonic functions in a single skin is highly desirable, but challenging and remains yet unexplored. We report herein a brand-new type of artificial intelligent skin, an optoelectronic skin ( o-skin), which combines the advantages of both e-skins and p-skins in a single skin device based on one-dimensional photonic crystal-based hydrogels. Taking advantage of its anisotropic characteristics, the resulting o-skin can easily distinguish vector stimuli such as stress type and movement direction to meet the needs of multi-dimensional perception. Furthermore, the o-skin also demonstrates advanced functions such as full-color displays and intelligent response to the environment in the form of self-adaptive camouflage. This work represents a substantial advance in using the molecular engineering strategy to achieve artificial intelligent skins with multiple anisotropic responses that can be integrated on the skin of a soft body to endow superior functions, just like the natural organisms that inspire us.
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Sirithunga, Chapa, and Buddhika Jayasekara. "Cognitively Intelligent Models for Human-Robot Interaction with MIRob." Bolgoda Plains 01, no. 01 (October 2021): 04–06. http://dx.doi.org/10.31705/bprm.2021.4.

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This research explores how a robot should gather knowledge upon a scenario between a robot and its user and then generate appropriate intelligent responses towards its user. Therefore, cognitive models were developed to act as a robot’s intelligence or the brain to make situation-specific decisions. Such insightful decisions will help the robot act in a social environment without disturbing its user or other humans around.
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Damodaran, Srinath, Arjun Alva, Srinath Kumar, and Muralidhar Kanchi. "Artificial Intelligence in POCUS: The Vanguard of Technology in COVID-19 Pandemic." Journal of Cardiac Critical Care TSS 4, no. 02 (November 6, 2020): 116–20. http://dx.doi.org/10.1055/s-0040-1718983.

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AbstractThe creation of intelligent software or system, machine learning, and deep learning technologies are the integral components of artificial intelligence. Point-of-care ultrasound involves the bedside use of ultrasound to answer specific diagnostic questions and to assess real-time physiologic responses to treatment. This article provides insight into the pearls and pitfalls of artificial intelligence in point-of-care ultrasound for the coronavirus disease 2019 pandemic.
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Aydin, Daniel, Vera C. Hirschfeld-Warneken, Ilia Louban, and Joachim P. Spatz. "Intelligent induction of active biosystem responses at interfaces." International Journal of Materials Research 102, no. 7 (July 2011): 796–808. http://dx.doi.org/10.3139/146.110531.

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Liu, Xiaogang, Dongshan Xiang, Chunhui Zeng, and Fengyun Huang. "The Investigation of Coupled Vibration of Automobile Transmission System and Its Intelligent Design." Machines 10, no. 6 (May 28, 2022): 428. http://dx.doi.org/10.3390/machines10060428.

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Intelligent manufacturing is developing rapidly nowadays, promoting the efficiency of manufacturing. In comparison, the design process has become a bottleneck in the product life cycle. In order to address this problem, this research develops an intelligent design method based on the automobile transmission system. Firstly, a mathematical model of the coupled vibration between the drive shaft and the main reducer was developed, and the vibration responses of the transmission system were simulated based on this mathematical model. Then, a test rig was developed to measure the vibration responses of the system; the measured results correlated well with the simulation results, indicating that the mathematical model can be used to investigate the coupled vibration between the drive shaft and the main reducer. Furthermore, the multiple parameters of the transmission system were optimized based on the mathematical model using the intelligent optimization algorithm. In particular, software was developed based on the intelligent optimization algorithm for the convenience of analysis, and the optimized results were acquired. The analysis results show that the vibration responses can be reduced when the optimized parameters are applied, indicating that the intelligent design method developed in this research is effective for the intelligent design of transmission system.
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Löffler, Christoph, Gidon T. Frischkorn, Jan Rummel, Dirk Hagemann, and Anna-Lena Schubert. "Do Attentional Lapses Account for the Worst Performance Rule?" Journal of Intelligence 10, no. 1 (December 24, 2021): 2. http://dx.doi.org/10.3390/jintelligence10010002.

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The worst performance rule (WPR) describes the phenomenon that individuals’ slowest responses in a task are often more predictive of their intelligence than their fastest or average responses. To explain this phenomenon, it was previously suggested that occasional lapses of attention during task completion might be associated with particularly slow reaction times. Because less intelligent individuals should experience lapses of attention more frequently, reaction time distribution should be more heavily skewed for them than for more intelligent people. Consequently, the correlation between intelligence and reaction times should increase from the lowest to the highest quantile of the response time distribution. This attentional lapses account has some intuitive appeal, but has not yet been tested empirically. Using a hierarchical modeling approach, we investigated whether the WPR pattern would disappear when including different behavioral, self-report, and neural measurements of attentional lapses as predictors. In a sample of N = 85, we found that attentional lapses accounted for the WPR, but effect sizes of single covariates were mostly small to very small. We replicated these results in a reanalysis of a much larger previously published data set. Our findings render empirical support to the attentional lapses account of the WPR.
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Bagheri, Zahra, Azlina Mohd Kosnin, and Mohammad Ali Besharat. "Improving Emotion Regulation skills through an Emotional Intelligence Training Course." Khazar Journal of Humanities and Social Sciences 19, no. 4 (December 2016): 36–48. http://dx.doi.org/10.5782/2223-2621.2016.19.4.36.

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Emotion regulation is the fourth component of emotional intelligence theory introduced by Salovey and Mayer (1990). It has received much interest in recent years due to its significant effect on life qualities such as mental health, social relationship, academic achievement and work performance. However, there were not enough empirical studies to examine whether the training of emotional intelligence can improve emotion regulation skills. This paper describes a quasi-experimental study aimed at answering the question, „Does training in emotional intelligence create more emotionally intelligent behavior, particularly emotion regulation?‟ Emotional intelligent behavior was measured by responses to a written test (FEIS-41) in twice, before and after the training course. The subject participants were 60 and divided into an experimental group and a control group. The experimental group received an emotional intelligence training course, while the control group did not. The training course had six sessions, held once per week for two and a half hours. The results showed that the level of emotion regulation improved in the experimental group after the emotional intelligence training.
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Schmidt, Susanne, Oscar Ariza, and Frank Steinicke. "Intelligent Blended Agents: Reality–Virtuality Interaction with Artificially Intelligent Embodied Virtual Humans." Multimodal Technologies and Interaction 4, no. 4 (November 27, 2020): 85. http://dx.doi.org/10.3390/mti4040085.

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Intelligent virtual agents (VAs) already support us in a variety of everyday tasks such as setting up appointments, monitoring our fitness, and organizing messages. Adding a humanoid body representation to these mostly voice-based VAs has enormous potential to enrich the human–agent communication process but, at the same time, raises expectations regarding the agent’s social, spatial, and intelligent behavior. Embodied VAs may be perceived as less human-like if they, for example, do not return eye contact, or do not show a plausible collision behavior with the physical surroundings. In this article, we introduce a new model that extends human-to-human interaction to interaction with intelligent agents and covers different multi-modal and multi-sensory channels that are required to create believable embodied VAs. Theoretical considerations of the different aspects of human–agent interaction are complemented by implementation guidelines to support the practical development of such agents. In this context, we particularly emphasize one aspect that is distinctive of embodied agents, i.e., interaction with the physical world. Since previous studies indicated negative effects of implausible physical behavior of VAs, we were interested in the initial responses of users when interacting with a VA with virtual–physical capabilities for the first time. We conducted a pilot study to collect subjective feedback regarding two forms of virtual–physical interactions. Both were designed and implemented in preparation of the user study, and represent two different approaches to virtual–physical manipulations: (i) displacement of a robotic object, and (ii) writing on a physical sheet of paper with thermochromic ink. The qualitative results of the study indicate positive effects of agents with virtual–physical capabilities in terms of their perceived realism as well as evoked emotional responses of the users. We conclude with an outlook on possible future developments of different aspects of human–agent interaction in general and the physical simulation in particular.
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Yong, Zhang, zhen Qiu, and Zhang Xiaowei. "A Study of Intelligent Teaching in High School Mathematics-Take Ellipse Teaching As an Example." INTERNATIONAL JOURNAL OF EDUCATION AND EVALUATION 8, no. 5 (October 5, 2022): 41–67. http://dx.doi.org/10.56201/ijee.v8.no5.2022.pg41.67.

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This paper analyzes the origin, concept, and development of intelligent teaching and briefly introduces the environment of intelligent teaching. At the same time, this paper mainly compares the differences between traditional teaching and intelligent teaching and designs a lesson plan for intelligent teaching by taking the teaching of the ellipse in sophomore mathematics as an example. This paper also investigates the responses of high school students to intelligent teaching using a questionnaire. The advantages and problems of intelligent teaching in high school classrooms are analyzed, and suggestions are also given
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Dissertations / Theses on the topic "Intelligent responses"

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Mantoro, Teddy, and teddy mantoro@anu edu au. "Distributed Support for Intelligent Environments." The Australian National University. Faculty of Engineering and Information Technology, 2006. http://thesis.anu.edu.au./public/adt-ANU20070123.150814.

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This thesis describes research on methods for Ubiquitous/Pervasive Computing to better suit users in an Intelligent Environment. The approach is to create and equip a computing environment, such as our Active Office, with technologies that can identify user needs and meet these need in a timely, efficient and unobtrusive manner.¶ The critical issues in the Intelligent Environment are how to enable transparent, distributed computing to allow continued operation across changing circumstances and how to exploit the changing environment so that it is aware of the context of user location, the collection of nearby people and objects, accessible devices and changes to those objects over time.¶ Since the Intelligent Environment is an environment with rapid and rich computing processing, the distributed context processing architecture (DiCPA) was developed to manage and respond to rapidly changing aggregation of sensor data. This architecture is a scalable distributed context processing architecture that provides: 1. continued operation across changing circumstances for users, 2. the collection of nearby people and objects, 3. accessible devices and 4. the changes to those objects over time in the environment. The DiCPA approach focuses on how the Intelligent Environment provides context information for user location, user mobility and the user activity model. Users are assumed mobile within the Intelligent Environment and can rapidly change their access to relevant information and the availability of communications and computational resources.¶ Context-Aware Computing is a new approach in software engineering for Intelligent Environment. It is an approach in the design and construction of a context-aware application that exploits rapid changes in access to relevant information and the availability of communication and computing resources in the mobile computing environment. The goal of Context-Aware Computing is to make user interaction with the computer easier in the smart environment where technology is spread throughout (pervasive), computers are everywhere at the same time (ubiquitous) and technology is embedded (ambient) in the environment. Context-aware applications need not be difficult, tedious or require the acquisition of new skills on the part of the user. They should be safe, easy, simple to use and should enable new functionality without the need to learn new technology. They should provide relevant information and a simple way for a user to manage.¶ The Intelligent Environment requires a context-aware application to improve its efficiency and to increase productivity and enjoyment for the user. The context awareness mechanism has four fundamental cores i.e. identity (who), activity (what), location (where) and timestamp (when). Based on DiCPA architecture, the model of user location (where), user mobility (where), user activity (what) and Intelligent Environment response (what) were developed. Prototypes were also developed to proof the Context-Aware Computing concept in the Intelligent Environment.¶ An Intelligent Environment uses the multi-disciplinary area of Context-Aware Computing, which combines technology, computer systems, models and reasoning, social aspects, and user support. A “good quality” project for Context-Aware Computing requires core content and provides iterative evaluation processes, which has two types of iteration: design and product iteration of the evaluation. The aim of the development of an evaluation program in Context-Aware Computing is to determine what to test, how to test and the appropriate metrics to use. This work presents the metrics for a good quality project in the Context-Aware Computing area, which is followed by the evaluation of the prototypes of this work.
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Read, Jason R. "Your Computer is Watching You: Intelligent Agents and Social Facilitation." [Tampa, Fla.] : University of South Florida, 2003. http://purl.fcla.edu/fcla/etd/SFE0000156.

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Hooper, Emmanuel. "Intelligent detection and response strategies for network infrastructure attacks." Thesis, Royal Holloway, University of London, 2007. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.441276.

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Charvat, Robert C. "Surveillance for Intelligent Emergency Response Robotic Aircraft (SIERRA Project)." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337888115.

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Rao-Chakravorti, Tarit. "Strategies and responses to intelligence failure : an organizational view." Thesis, Massachusetts Institute of Technology, 2018. http://hdl.handle.net/1721.1/117989.

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Thesis: M.B.A., Massachusetts Institute of Technology, Sloan School of Management, 2018.
Cataloged from PDF version of thesis.
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In the years following September 11th, the United States Intelligence Community has sought to understand the causes of intelligence failure that allowed such an attack to be carried out. The proposed causes of intelligence failure are myriad - from breakdowns in analytic independence, to a failure to appropriately prioritize threats. Understanding the causes of failure is critical to improving the process by which the Intelligence Community anticipates and responds to harmful actors. This paper reviews the extant literature on intelligence failure, and examines the the challenges most prioritized by the Intelligence Community, as reflected through the 2015 reorganization of the Central Intelligence Agency. The study breaks down the strategic and environmental perspective that is reflected in the new organizational structure at the Agency, and seeks to highlight the strengths and weaknesses of the new structure. Finally, the study closes by introducing three analytic techniques that have been employed in limited use by the Intelligence Community, but hold promise for improving anticipatory analysis and preventing intelligence failure.
by Tarit Rao-Chakravorti.
M.B.A.
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Kanoun, Wael. "Intelligent risk-aware system for activating and deactivating policy-based response." Télécom Bretagne, 2011. http://www.theses.fr/2011TELB0165.

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The growth of information and critical systems in size and complexity, combined with the steady increase in attacks’ frequency and sophistication, renders current response systems obsolete. The system can be targeted by different but simultaneous attacks, which require the activation of different responses. Furthermore, the appropriate response action for a given attack can have side effects: (i) intrinsic cost for the system or (ii) allowing or facilitating the execution of other attacks. Thus, intelligent response systems are certainly needed in order to enhance the response procedure in automated systems, or to assist the administrators in the process of taking the appropriate response decision. While the majority of existing response models is cost-oriented, we adopt a more general perspective: risk-awareness. Conformably to the definition of risk, we consider jointly the impact and the success likelihood of ongoing attacks, during the response selection procedure. First, we propose a response workflow with two distinctive levels: tactical response and strategic response. Tactical response is composed of simple countermeasures, which have a limited scope in the system. They are generally associated with an ongoing attack’s occurrence. On the other hand, strategic response is specified using a formal policy language (Organization-based Access Control - OrBAC), and deployed in the system to counter a major threat. Second, we focus on tactical response and propose a risk-aware framework. When an ongoing attack is detected, we assess dynamically the overall risk of the attack, by combining mainly its potential impact with its success likelihood. Then, candidate countermeasures are prioritized with respect to their effectiveness in reducing the overall risk. Afterward, we focus on the success likelihood factor, by proposing a dynamic model to assess this metric, which considers the progress’ state of the ongoing attack and the system’s state. Third, we proceed by presenting a risk-aware activation and deactivation framework for strategic response. A strategic response (i. E. Policy-based) is activated and maintained in the system, as long as the dynamic risk of an ongoing attack exceeds the cost of the response. Contrary to other response systems, we consider the deactivation of the response, which is performed when the attack’s risk drops, or when the cost of the response is too high. In this thesis, a VoIP service was selected to demonstrate our proposal. The implementation of the risk-aware tactical response module is mainly based on the CRIM prototype, while we used the MotOrBAC prototype to specify, activate and deactivate strategic response. We believe that a risk-aware approach can offer to the administrator or to the automated response system, a more comprehensive view on the ongoing attacks, and goes beyond by prioritizing candidate responses with respect to their effectiveness in reducing the overall risks
La croissance de l'échelle des systèmes d'information critiques, combinée à l'augmentation continue de la fréquence et de la sophistication des attaques, rend les systèmes de réponses classiques inadéquats. Le système peut être la cible de plusieurs attaques simultanées, qui nécessitent l'activation de réponses différentes et contradictoires. En outre, une réponse peut avoir des effets collatéraux, comme (i) induire un coût intrinsèque sur le système, (ii) permettre et faciliter l'exécution d'autres attaques. Ainsi, les systèmes de réponse doivent être conçus d'une manière intelligente, pour optimiser l'activation des réponses appropriées, soit pour les automatiser, soit pour fournir une assistance à la décision aux administrateurs. Alors que la majorité des modèles de réponses existants considère seulement le coût des attaques et des réponses, nous adoptons une perspective plus générale basée sur le risque. Conformément à la définition du risque, nous considérons conjointement l'impact et la vraisemblance de succès des attaques en cours dans le processus de sélection de réponse. D'abord, nous proposons un workflow qui permet de réagir sur deux plans distincts, sur le plan tactique, et sur le plan stratégique. La réponse tactique est composée des contremesures élémentaires à portées limitées dans le système. Elles sont généralement liées à l'occurrence d'attaque en cours. En revanche, la réponse stratégique est spécifiée avec un langage formel qui permet d'exprimer des politiques de sécurité. Elles sont déployées globalement dans le système pour des menaces majeures. Ensuite, nous proposons un modèle pour la réponse tactique, basé sur une évaluation de risques dynamique. Quand une attaque en cours est détectée, nous évaluons le risque global en combinant l'impact potentiel avec la vraisemblance de succès de l'attaque. Les contremesures seront ordonnées par rapport à leur efficacité à réduire le risque global. Nous mettons l'accent sur le facteur de vraisemblance de succès, et nous proposons un modèle dynamique pour évaluer ce paramètre, en tenant compte du progrès de l'attaque en cours et l'état du système. Enfin, nous présentons un framework basé sur les risques pour l'activation et la désactivation de la réponse stratégique. Cette réponse est activée et déployée quand le risque de l'attaque en cours dépasse le coût cumulé de la réponse, et elle est maintenue tant que le risque reste présent. Contrairement aux systèmes existants, nous considérons la désactivation d'une réponse qui est effectuée lorsque le risque de l'attaque décroît, ou dés lors que le coût de la réponse devient important. Dans cette thèse, un service VoIP a été choisi pour valider nos propositions, tout en respectant les contraintes opérationnelles et de sécurité
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Estebanez, Camarena Monica. "PyrSat - Prevention and response to wild fires with an intelligent Earth observation CubeSat." Master's thesis, University of Cape Town, 2018. http://hdl.handle.net/11427/29881.

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Forest fires are a pervasive and serious problem. Besides loss of life and extensive environmental damage, fires also result in substantial economic losses, not to mention property damage, injuries, displacements and hardships experienced by the affected citizens. This project proposes a low-cost intelligent hyperspectral 3U CubeSat for the production of fire risk and burnt area maps. It applies Machine Learning algorithms to autonomously process images and obtain final data products on-board the satellite for direct transmission to users on the ground. Used in combination with other services such as EFFIS or AFIS, the system could considerably reduce the extent and consequences of forest fires.
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Li, Mengtong. "An intelligent flood evacuation model based on deep learning of various flood scenarios." Doctoral thesis, Kyoto University, 2021. http://hdl.handle.net/2433/263634.

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Nourjou, Reza. "GIS-based Intelligent Assistant Agent for Supporting Decisions of Incident Commander in Disaster Response." 京都大学 (Kyoto University), 2014. http://hdl.handle.net/2433/188867.

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Pinelis, Lev. "The application of Intelligent Transportation Systems (ITS) and Information Technology systems to disaster response." Thesis, Massachusetts Institute of Technology, 2006. http://hdl.handle.net/1721.1/37972.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2006.
Includes bibliographical references (p. 195-199).
Disaster response operations during recent terrorist attacks and natural disasters have been a cause for concern. Lack of planning is one source of difficulties with these operations, but even if a perfect plan is agreed upon before a disaster occurs, it is unlikely that disaster response operations will be successful without better technological support. For this thesis, three prominent and recent disaster cases are analyzed in order to better understand current disaster response problems that result from insufficient Information Technology (IT) and Intelligent Transportation Systems (ITS) support. After presenting this analysis, we provide results of a technology review, whose goal was to search for emerging technologies that could perform better during a disaster response than the standard, currently available systems. .
(cont.) Using these emerging technologies, a Disaster Response Support System (DRSS) is proposed that would provide improved capability, interoperability, and robustness compared to the currently available support systems. Finally, potential barriers to deployment of a system such as the DRSS are discussed and ways in which these barriers can be overcome are suggested
by Lev Pinelis.
S.M.
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Books on the topic "Intelligent responses"

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Winograd, Terry. Three responses to situation theory. Stanford, CA: CSLI/Stanford, 1987.

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International Seminar on Accident Sequence Modeling (1987 Munich, Germany). Accident sequence modeling: Human actions, system response, intelligent decision support. London: Elsevier Applied Science, 1988.

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Davies, Matthew N. Indonesian security responses to resurgent Papuan separatism: An open source intelligence case study. Canberra: Strategic and Defence Studies, 2001.

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Minister, Great Britain Prime. Government response to the Intelligence and Security Committee's annual report 2004-05. London: Stationery Office, 2005.

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Great Britain. Intelligence and Security Committee. Government response to the Intelligence and Security Committee's annual report 1998-99. London: The Stationery Office, 2000.

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Schulz, E. Matthew. Grade equivalent and IRT representations of growth. Iowa City, Iowa: ACT, Inc., 1997.

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Minister, Great Britain Prime. Government response to the Intelligence and Security Committee report on Iraqi weapons of mass destruction: Intelligence and assessments 11 September 2003. London: Stationery Office, 2004.

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Crimes of power & states of impunity: The U.S. response to terror. New Brunswick, N.J: Rutgers University Press, 2009.

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Piette, Mary Ann. Open automated demand response communications specification (version 1.0): PIER final project report. [Sacramento, Calif.]: California Energy Commission, 2009.

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editor, Mordini E. (Emilio), and Green Manfred editor, eds. Internet-based intelligence in public health emergencies: Early detection and response in disease outbreak crises. Amsterdam, Netherlands: IOS Press, 2011.

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Book chapters on the topic "Intelligent responses"

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Chen, Wei, Jack Mostow, and Gregory Aist. "Exploiting Predictable Response Training to Improve Automatic Recognition of Children’s Spoken Responses." In Intelligent Tutoring Systems, 65–74. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13388-6_11.

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Yang, Xiaonan, and Jung Hyup Kim. "Pupillary Response and EMG Predict Upcoming Responses to Collision Avoidance Warning." In Advances in Intelligent Systems and Computing, 135–43. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20148-7_13.

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Paiva, Frank, and Rodney D. Nielsen. "Clustering Constructed Responses for Formative Assessment in Comprehension SEEDING." In Intelligent Tutoring Systems, 686–88. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07221-0_107.

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Ali, Khalda, Maram Alzaidi, Dimah Al-Fraihat, and Amir M. Elamir. "Artificial Intelligence: Benefits, Application, Ethical Issues, and Organizational Responses." In Intelligent Sustainable Systems, 685–702. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-7660-5_62.

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Chin, David N. "Planning Intelligent Responses in a Natural Language System." In Intelligent Help Systems for UNIX, 283–331. Dordrecht: Springer Netherlands, 2000. http://dx.doi.org/10.1007/978-94-010-0874-7_14.

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Alhujailli, Ashraf, and Waldemar Karwowski. "Emotional and Stress Responses to Cyberbullying." In Advances in Intelligent Systems and Computing, 33–43. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-94622-1_4.

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de Kok, Iwan, and Dirk Heylen. "Appropriate and Inappropriate Timing of Listener Responses from Multiple Perspectives." In Intelligent Virtual Agents, 248–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23974-8_27.

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Harley, Jason, François Bouchet, and Roger Azevedo. "Examining Learners’ Emotional Responses to Virtual Pedagogical Agents’ Tutoring Strategies." In Intelligent Virtual Agents, 449–50. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-23974-8_57.

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Shimaoka, Nanako, Shogo Okamoto, Kyoichi Tachi, Yasuhiro Akiyama, and Yoji Yamada. "Layered Modeling of Sensory and Affective Responses: Modification by Considering Unique Factors of Affective Responses." In Advances in Intelligent Systems and Computing, 168–73. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7801-4_17.

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Lu, Peixian, Lisha Li, and Liang Ma. "Online Service Quality Measurement Utilizing Psychophysiological Responses." In Advances in Intelligent Systems and Computing, 347–52. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20454-9_36.

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Conference papers on the topic "Intelligent responses"

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Allan, Alasdair, Tim Naylor, Iain A. Steele, Tim Jenness, Brad Cavanagh, Frossie Economou, Eric Saunders, Andy Adamson, Jason Etherton, and Chris Mottram. "eSTAR: intelligent observing and rapid responses." In SPIE Astronomical Telescopes + Instrumentation. SPIE, 2004. http://dx.doi.org/10.1117/12.550433.

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Sichel, Enid K., Beverly Park Woolf, and Mark Floryan. "Personalized intelligent software responses for engineering students." In 2014 IEEE Innovations in Technology Conference (InnoTek). IEEE, 2014. http://dx.doi.org/10.1109/innotek.2014.6877367.

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Mantoro, Teddy, Chris W. Johnson, and Media A. Ayu. "A Framework in Ubiquitous Computing Environment for Providing Intelligent Responses." In 2009 Third International Conference on Mobile Ubiquitous Computing, Systems, Services and Technologies (UBICOMM). IEEE, 2009. http://dx.doi.org/10.1109/ubicomm.2009.59.

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Malta, Lucas, Chiyomi Miyajima, and Kazuya Takeda. "Analysis of Drivers' Responses under Hazardous Situations in Vehicle Traffic." In 2007 IEEE Intelligent Vehicles Symposium. IEEE, 2007. http://dx.doi.org/10.1109/ivs.2007.4290272.

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Liu, Yang, Sheng Liu, Hulya Cebeci, Roberto G. de Villoria, Jun-Hong Lin, Brian L. Wardle, and Q. M. Zhang. "Enhanced Electromechanical Responses of IPCNC Actuators." In ASME 2010 Conference on Smart Materials, Adaptive Structures and Intelligent Systems. ASMEDC, 2010. http://dx.doi.org/10.1115/smasis2010-3832.

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In this presentation, we will show several progresses in Ionic Polymer Conductor Network Composite Actuators (IPCNC) studies. First of all, we successfully fabricated ultra high volume fraction vertically aligned carbon nanotubes (VA-CNTs)/polymer composite electrodes which markedly improved the electromechanical performance of IPCNC actuators. The experimental results show that the continuous paths through inter-VA-CNT channels and low electrical conduction resistance due to the continuous CNTs lead to fast actuation speed (>10% strain/second). The experimental results also demonstrate that the VA-CNTs create anisotropic elastic property in the composite electrodes, which suppresses the vertical strain and markedly enhances the actuation strain (>8% strain under 4 volts). The data here show the promise of optimizing the electrode morphology in IPCNCs by the ultrahigh volume fraction VA-CNTs for ionic polymer actuators to achieve high performance.
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Gerritsen, Charlotte, Jeroen de Man, and Justin van der Meij. "Physiological and Subjective Response to Injustice: The Effects of Unjust Evaluations on Physiological Responses and Subjective Experiences." In 2013 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE, 2013. http://dx.doi.org/10.1109/wi-iat.2013.178.

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Chung-Ming Ou and Chung-Jen Ou. "Intelligent immune responses with distributed memory structure inspired by antibody dynamics." In 2014 International Conference on Machine Learning and Cybernetics (ICMLC). IEEE, 2014. http://dx.doi.org/10.1109/icmlc.2014.7009152.

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Hua Yan, Dading Tang, Liang Zhang, and Kexin Cui. "Research on the axial responses of ECT sensors." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4594138.

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McDuff, Daniel, Rana el Kaliouby, and Rosalind W. Picard. "Crowdsourcing facial responses to online videos: Extended abstract." In 2015 International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE, 2015. http://dx.doi.org/10.1109/acii.2015.7344618.

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Heerink, M., B. Krse, V. Evers, and B. Wielinga. "Responses to a social robot by elderly users." In 2008 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, 2008. http://dx.doi.org/10.1109/iros.2008.4651232.

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Reports on the topic "Intelligent responses"

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Auslander, David, David Culler, Paul Wright, Yan Lu, and Mary Piette. A Distributed Intelligent Automated Demand Response Building Management System. Office of Scientific and Technical Information (OSTI), March 2013. http://dx.doi.org/10.2172/1172982.

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Holmberg, David G., Michelle A. Raymond, and Jason Averill. Delivering Building Intelligence to First Responders. Gaithersburg, MD: National Institute of Standards and Technology, February 2013. http://dx.doi.org/10.6028/nist.tn.1648.

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DoD Office of Inspector General. Review of Joint Forces Intelligence Command Response to 9/11 Commission. Fort Belvoir, VA: Defense Technical Information Center, September 2008. http://dx.doi.org/10.21236/ada639287.

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Weinstein, Emily. China’s Use of AI in its COVID-19 Response. Center for Security and Emerging Technology, August 2020. http://dx.doi.org/10.51593/20200053.

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The current global pandemic has given China a chance to amplify its efforts to apply artificial intelligence across the public and private spheres. Chinese companies are developing and retooling AI systems for control and prevention. This data brief assesses the types of AI technologies used to fight COVID-19 and the key players involved in this industry.
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Stone, D. K. Comprehensive Angular Response Study of LLNL Panasonic Dosimeter Configurations and Artificial Intelligence Algorithm. Office of Scientific and Technical Information (OSTI), June 2017. http://dx.doi.org/10.2172/1373656.

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Wagener, Jeanie. The correlation between correct verbal and nonverbal responses on an intelligence test and expressive language test score. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.6125.

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Stone, Daniel K. Comprehensive Angular Response Study of LLNL Panasonic Dosimeter Configurations and Artificial Intelligence Algorithm (Rev. 1). Office of Scientific and Technical Information (OSTI), June 2019. http://dx.doi.org/10.2172/1529829.

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Amundson, J., and et al. Response to NITRD, NCO, NSF Request for Information on "Update to the 2016 National Artificial Intelligence Research and Development Strategic Plan". Office of Scientific and Technical Information (OSTI), November 2019. http://dx.doi.org/10.2172/1592156.

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Tsidylo, Ivan M., Serhiy O. Semerikov, Tetiana I. Gargula, Hanna V. Solonetska, Yaroslav P. Zamora, and Andrey V. Pikilnyak. Simulation of intellectual system for evaluation of multilevel test tasks on the basis of fuzzy logic. CEUR Workshop Proceedings, June 2021. http://dx.doi.org/10.31812/123456789/4370.

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The article describes the stages of modeling an intelligent system for evaluating multilevel test tasks based on fuzzy logic in the MATLAB application package, namely the Fuzzy Logic Toolbox. The analysis of existing approaches to fuzzy assessment of test methods, their advantages and disadvantages is given. The considered methods for assessing students are presented in the general case by two methods: using fuzzy sets and corresponding membership functions; fuzzy estimation method and generalized fuzzy estimation method. In the present work, the Sugeno production model is used as the closest to the natural language. This closeness allows for closer interaction with a subject area expert and build well-understood, easily interpreted inference systems. The structure of a fuzzy system, functions and mechanisms of model building are described. The system is presented in the form of a block diagram of fuzzy logical nodes and consists of four input variables, corresponding to the levels of knowledge assimilation and one initial one. The surface of the response of a fuzzy system reflects the dependence of the final grade on the level of difficulty of the task and the degree of correctness of the task. The structure and functions of the fuzzy system are indicated. The modeled in this way intelligent system for assessing multilevel test tasks based on fuzzy logic makes it possible to take into account the fuzzy characteristics of the test: the level of difficulty of the task, which can be assessed as “easy”, “average", “above average”, “difficult”; the degree of correctness of the task, which can be assessed as “correct”, “partially correct”, “rather correct”, “incorrect”; time allotted for the execution of a test task or test, which can be assessed as “short”, “medium”, “long”, “very long”; the percentage of correctly completed tasks, which can be assessed as “small”, “medium”, “large”, “very large”; the final mark for the test, which can be assessed as “poor”, “satisfactory”, “good”, “excellent”, which are included in the assessment. This approach ensures the maximum consideration of answers to questions of all levels of complexity by formulating a base of inference rules and selection of weighting coefficients when deriving the final estimate. The robustness of the system is achieved by using Gaussian membership functions. The testing of the controller on the test sample brings the functional suitability of the developed model.
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Bourrier, Mathilde, Michael Deml, and Farnaz Mahdavian. Comparative report of the COVID-19 Pandemic Responses in Norway, Sweden, Germany, Switzerland and the United Kingdom. University of Stavanger, November 2022. http://dx.doi.org/10.31265/usps.254.

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The purpose of this report is to compare the risk communication strategies and public health mitigation measures implemented by Germany, Norway, Sweden, Switzerland, and the United Kingdom (UK) in 2020 in response to the COVID-19 pandemic based on publicly available documents. The report compares the country responses both in relation to one another and to the recommendations and guidance of the World Health Organization where available. The comparative report is an output of Work Package 1 from the research project PAN-FIGHT (Fighting pandemics with enhanced risk communication: Messages, compliance and vulnerability during the COVID-19 outbreak), which is financially supported by the Norwegian Research Council's extraordinary programme for corona research. PAN-FIGHT adopts a comparative approach which follows a “most different systems” variation as a logic of comparison guiding the research (Przeworski & Teune, 1970). The countries in this study include two EU member States (Sweden, Germany), one which was engaged in an exit process from the EU membership (the UK), and two non-European Union states, but both members of the European Free Trade Association (EFTA): Norway and Switzerland. Furthermore, Germany and Switzerland govern by the Continental European Federal administrative model, with a relatively weak central bureaucracy and strong subnational, decentralised institutions. Norway and Sweden adhere to the Scandinavian model—a unitary but fairly decentralised system with power bestowed to the local authorities. The United Kingdom applies the Anglo-Saxon model, characterized by New Public Management (NPM) and decentralised managerial practices (Einhorn & Logue, 2003; Kuhlmann & Wollmann, 2014; Petridou et al., 2019). In total, PAN-FIGHT is comprised of 5 Work Packages (WPs), which are research-, recommendation-, and practice-oriented. The WPs seek to respond to the following research questions and accomplish the following: WP1: What are the characteristics of governmental and public health authorities’ risk communication strategies in five European countries, both in comparison to each other and in relation to the official strategies proposed by WHO? WP2: To what extent and how does the general public’s understanding, induced by national risk communication, vary across five countries, in relation to factors such as social capital, age, gender, socio-economic status and household composition? WP3: Based on data generated in WP1 and WP2, what is the significance of being male or female in terms of individual susceptibility to risk communication and subsequent vulnerability during the COVID-19 outbreak? WP4: Based on insight and knowledge generated in WPs 1 and 2, what recommendations can we offer national and local governments and health institutions on enhancing their risk communication strategies to curb pandemic outbreaks? WP5: Enhance health risk communication strategies across five European countries based upon the knowledge and recommendations generated by WPs 1-4. Pre-pandemic preparedness characteristics All five countries had pandemic plans developed prior to 2020, which generally were specific to influenza pandemics but not to coronaviruses. All plans had been updated following the H1N1 pandemic (2009-2010). During the SARS (2003) and MERS (2012) outbreaks, both of which are coronaviruses, all five countries experienced few cases, with notably smaller impacts than the H1N1 epidemic (2009-2010). The UK had conducted several exercises (Exercise Cygnet in 2016, Exercise Cygnus in 2016, and Exercise Iris in 2018) to check their preparedness plans; the reports from these exercises concluded that there were gaps in preparedness for epidemic outbreaks. Germany also simulated an influenza pandemic exercise in 2007 called LÜKEX 07, to train cross-state and cross-department crisis management (Bundesanstalt Technisches Hilfswerk, 2007). In 2017 within the context of the G20, Germany ran a health emergency simulation exercise with WHO and World Bank representatives to prepare for potential future pandemics (Federal Ministry of Health et al., 2017). Prior to COVID-19, only the UK had expert groups, notably the Scientific Advisory Group for Emergencies (SAGE), that was tasked with providing advice during emergencies. It had been used in previous emergency events (not exclusively limited to health). In contrast, none of the other countries had a similar expert advisory group in place prior to the pandemic. COVID-19 waves in 2020 All five countries experienced two waves of infection in 2020. The first wave occurred during the first half of the year and peaked after March 2020. The second wave arrived during the final quarter. Norway consistently had the lowest number of SARS-CoV-2 infections per million. Germany’s counts were neither the lowest nor the highest. Sweden, Switzerland and the UK alternated in having the highest numbers per million throughout 2020. Implementation of measures to control the spread of infection In Germany, Switzerland and the UK, health policy is the responsibility of regional states, (Länders, cantons and nations, respectively). However, there was a strong initial centralized response in all five countries to mitigate the spread of infection. Later on, country responses varied in the degree to which they were centralized or decentralized. Risk communication In all countries, a large variety of communication channels were used (press briefings, websites, social media, interviews). Digital communication channels were used extensively. Artificial intelligence was used, for example chatbots and decision support systems. Dashboards were used to provide access to and communicate data.
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